Non-linear perfect reconstruction filter banks for image coding

DW Redmill; David Bull

doi:10.1109/ICIP.1996.559566

Abstract

This paper presents a new architecture for designing non-linear, critically decimated, perfect reconstruction filter banks. It is believed that such filters have a wide range of applications including that of still image and image sequence compression. Example filters are presented, for still image compression using a quincunx system. These filters are shown to out-perform other linear and non-linear methods, both in terms of subjective and objective image quality

Original language	English
Pages	593 - 596
DOIs	https://doi.org/10.1109/ICIP.1996.559566
Publication status	Published - Aug 1996

Bibliographical note

Terms of use: Copyright © 1996 IEEE. Reprinted from International Conference on Image Processing, 1996 (ICIP 1996).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Name of Conference: International Conference on Image Processing
Venue of Conference: Lausanne

Access to Document

10.1109/ICIP.1996.559566

Redmill IEEE ICIP 1996Accepted author manuscript, 589 KB

http://hdl.handle.net/1983/1518

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Cite this

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abstract = "This paper presents a new architecture for designing non-linear, critically decimated, perfect reconstruction filter banks. It is believed that such filters have a wide range of applications including that of still image and image sequence compression. Example filters are presented, for still image compression using a quincunx system. These filters are shown to out-perform other linear and non-linear methods, both in terms of subjective and objective image quality",

author = "DW Redmill and David Bull",

note = "Terms of use: Copyright {\textcopyright} 1996 IEEE. Reprinted from International Conference on Image Processing, 1996 (ICIP 1996). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. Name of Conference: International Conference on Image Processing Venue of Conference: Lausanne",

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